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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Characterizing Deep Gauss" (30 stories)

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Efficient experimental characterization of the GPCRome via deep receptor scanning
Lead StoryNaturegeneral
Aug 14

Efficient experimental characterization of the GPCRome via deep receptor scanning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5keVVWd0xSVmtfY3FCcGIwVi1IWlBjQTBHcEdXRTF3TVFMZGlWbS1oM21JQmkzYXgyWjJkODRLLU9LVWZGTUl2WlQ0X0ZoZ25idEN3NUNkc2IyMjhEcjR3?oc=5" target="_blank">Efficient experimental characterization of the GPCRome via deep receptor scanning</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Characterizing Deep Gauss"

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29 stories displayed
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
The Association for the Advancement of Artificial Intelligencegeneral

Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBlOEZxdmFzQ051WHlfamlTQ3FGTlNyZjBjczVmb2ZHcURGTElqb0I1bkphYzktWFpVMV94anViRUlDbm12TmhFVDFOVzJhbFk4a0N0VVJ0WHF1Nk84eGRoMG50Y3U?oc=5" target="_blank">Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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A Deep Learning-Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non-Linearity and Non-Gaussianity Challenges
AGU Publicationsgeneral

A Deep Learning-Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non-Linearity and Non-Gaussianity Challenges

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFBab0JUMjFHVjViU3o2V05XN1RxUWM0VFMyMkhlanp3TnV4SnZpSWlscFl5RDRfY0UyN2RYbGJhUHhESHdLOTN2dm1DTnNBYVhsMjQ5cWxtYkpLaGFadHJ3OFNCSmY4WFdlbzdCTUNKYVZzT3NON0YxVw?oc=5" target="_blank">A Deep Learning-Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non-Linearity and Non-Gaussianity Challenges</a>  <font color="#6f6f6f">AGU Publications</font>

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Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM
Naturegeneral

Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE44SHRpQlJ5dkZRTVd6WE5KX1BuNy1mS1JBSnFUYW5yOGl6aVg4elNtNGxvYnVPMWxBNngyMS1QZE5fdGY0c3dYNG4wdjVrcGZaX3Uza2ZPZ24tWkM1dWxV?oc=5" target="_blank">Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM</a>  <font color="#6f6f6f">Nature</font>

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Effective Characterization of Fractured Media With PEDL: A Deep Learning-Based Data Assimilation Approach
AGU Publicationsgeneral

Effective Characterization of Fractured Media With PEDL: A Deep Learning-Based Data Assimilation Approach

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFBHWUYtcl96dlFEOEdSdXhCTVZCTExVRUhMM1ZtSlF1MUpTUWc1TTFOX3JBaGtrNXVfd2IwMldIZkFrdjBKNmdEWENDRXZrT0oxVFJoTk42dkJwbEVOekpJSmg0ZVJpbTdLZFFmeHZqbDZSVS1YVjBpVg?oc=5" target="_blank">Effective Characterization of Fractured Media With PEDL: A Deep Learning-Based Data Assimilation Approach</a>  <font color="#6f6f6f">AGU Publications</font>

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Clinical validation of a deep learning tool for characterizing spinopelvic mobility in total hip arthroplasty
Naturegeneral

Clinical validation of a deep learning tool for characterizing spinopelvic mobility in total hip arthroplasty

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9YeGdvb2NuMlQxeWFsS3VkZlNGTW1DT0RxcENoM2ZGMWF1QU9KeGxtMi1Fb1U4OTdRX0JyU1dqSUE1Wmo2NTJ4SFczMW1mdldheFF1cXlvdGVYbzNpS2hn?oc=5" target="_blank">Clinical validation of a deep learning tool for characterizing spinopelvic mobility in total hip arthroplasty</a>  <font color="#6f6f6f">Nature</font>

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Deep Learning for Characterizing Paleokarst Collapse Features in 3‐D Seismic Images
AGU Publicationsgeneral

Deep Learning for Characterizing Paleokarst Collapse Features in 3‐D Seismic Images

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE5lRi1iRkZEQWpUbFMxMHNkQkFjZ0ttaGJFQ2FjcWRqT05JNXl5eWozOHQxaVFaWG5CR2dDVk5ORDRLMlVPajhqQTduUWZkVU9XamM3U0xQbHhXaEFLWUxibGNoQnNQVHdVMzI4dW9hQXJCYWUzQm83aw?oc=5" target="_blank">Deep Learning for Characterizing Paleokarst Collapse Features in 3‐D Seismic Images</a>  <font color="#6f6f6f">AGU Publications</font>

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End-to-end CNN-based deep learning enhances breast lesion characterization using quantitative ultrasound (QUS) spectral parametric images
Natureworld

End-to-end CNN-based deep learning enhances breast lesion characterization using quantitative ultrasound (QUS) spectral parametric images

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE05b0lkcEo4Z25KU1RsUi1iZ0dHaWcyLVljdmI3cEhHMmtGc3Ixb0R1WER4NFhCaVJPN3Z6YzlXRS13YjhhcG9VQ0M4a3RKM1g5bTRQY0UzT1JfVzc5VkJB?oc=5" target="_blank">End-to-end CNN-based deep learning enhances breast lesion characterization using quantitative ultrasound (QUS) spectral parametric images</a>  <font color="#6f6f6f">Nature</font>

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Laser-generated focused ultrasound for thrombus characterization and fragmentation: ex vivo feasibility study
Natureworld

Laser-generated focused ultrasound for thrombus characterization and fragmentation: ex vivo feasibility study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE52NnYycWd0UUNkN1NDblRUdEJ6NmRoeEdscTIwVk1ybDBVMzNpU3Fsdl9faXh5ZjIyRXpPNk5OM2ZiNXZZd0l5UTdxTlNTZ2lYc3F4UzFCSXN6cXd5N00w?oc=5" target="_blank">Laser-generated focused ultrasound for thrombus characterization and fragmentation: ex vivo feasibility study</a>  <font color="#6f6f6f">Nature</font>

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Hybrid geostatistical and deep learning framework for geochemical characterization in historical mine tailings
Naturetech

Hybrid geostatistical and deep learning framework for geochemical characterization in historical mine tailings

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjV2xEbnFpeDFTY0M4WHYwTTlJR1FDZnU3NVJPajVmNWg5c2xyMWhCMUVTUmlMTzYtMGRUSE9NbFB2aER1cjRCRmFScFRGZm14TnJmdFdjbmstTGtabXo0?oc=5" target="_blank">Hybrid geostatistical and deep learning framework for geochemical characterization in historical mine tailings</a>  <font color="#6f6f6f">Nature</font>

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Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects
Naturegeneral

Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9sYjBGRWVRb0ZMQ2pJQ3BjMEpXRlJSV0xNRE5hcjVvdWMyYTNBMHFndGg4T043bkVHYTRQeHF4TWpiOFhzSmd5NEptbm5vQ0FQc0tnVGRMdm4wRm5hLXhj?oc=5" target="_blank">Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects</a>  <font color="#6f6f6f">Nature</font>

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Deep learning algorithm-enabled sediment characterization techniques to determination of water saturation for tight gas carbonate reservoirs in Bohai Bay Basin, China
Naturetech

Deep learning algorithm-enabled sediment characterization techniques to determination of water saturation for tight gas carbonate reservoirs in Bohai Bay Basin, China

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8xT2dUVVZrcWg3c3ZlUnBSbXJBNWg5OGdiekVnQ2FkWGR0T3ZsVjRYZTRSQzJxTFRRX09DNm90RUtMTTVscjF3YVpmSlIyd0YwU0NkcXhJeXpkdi1ZU0R3?oc=5" target="_blank">Deep learning algorithm-enabled sediment characterization techniques to determination of water saturation for tight gas carbonate reservoirs in Bohai Bay Basin, China</a>  <font color="#6f6f6f">Nature</font>

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Deep transfer learning for seismic characterization of strike-slip faults in karstified carbonates from the northern Tarim basin
Naturegeneral

Deep transfer learning for seismic characterization of strike-slip faults in karstified carbonates from the northern Tarim basin

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03M192aF95ejBJdS0xZ3FBd0l5R2pXWWJGbGJKSFZDZXBtaFAyY05HNnVzTU1PUDk2eklJQnQzZnBnb1ZnQ0ZEYXJGSTJHNXJNcjAxdFBPVUJRNnZzVGVR?oc=5" target="_blank">Deep transfer learning for seismic characterization of strike-slip faults in karstified carbonates from the northern Tarim basin</a>  <font color="#6f6f6f">Nature</font>

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SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues
Naturegeneral

SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1NVVdicEVrbXNaaDZUSHotNWc1OFNXcTFxblkwZ0lUUG1NejRJcWZvUmV1aVFQRGUySDMxdHN3aU9kRWg0Z196WnlrTmFuWnp4R0wzbGhfRmpLUDZ3T0Jn?oc=5" target="_blank">SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues</a>  <font color="#6f6f6f">Nature</font>

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SPACEL: deep learning-based characterization of spatial transcriptome architectures
Naturescience

SPACEL: deep learning-based characterization of spatial transcriptome architectures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5EX0RCM0xXM1hSNnAxTTdCUFJwQ0lrUU1vNWJxX2NLV1dEbDZiWjlkRFZNM2dETHhCSVpBYzdVREpxdzRjenFrbkZzYzZpb24zcG5kLVFIV09YMkhOT21n?oc=5" target="_blank">SPACEL: deep learning-based characterization of spatial transcriptome architectures</a>  <font color="#6f6f6f">Nature</font>

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Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates
Naturegeneral

Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA1TmsxU2drR0E0T2o0VFY4TFZ3anI2TnhqbGZHbDhTdmFsNm5mUThtWHBSTDEyXzJnUEhlbFRXNW9FdlRRdFZKYnJ4S2pxU01JRjR4bmZUWnhYNjNKVXVB?oc=5" target="_blank">Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates</a>  <font color="#6f6f6f">Nature</font>

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Quantitative characterization of thermo-optically modulated microbend loss in silica fibers for high-temperature deep-well telemetry
Naturegeneral

Quantitative characterization of thermo-optically modulated microbend loss in silica fibers for high-temperature deep-well telemetry

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1nUlVIYU1jdUEyYk1yT3JNd1YxSlozcWJyakh0QTBLaXB1Sm45VDNhX0VoVE9PNTZFVmxYVEtFYzdBcEplWXpDdWJYWnh0T1d0Y09BS1luRXpZTjdPMzdv?oc=5" target="_blank">Quantitative characterization of thermo-optically modulated microbend loss in silica fibers for high-temperature deep-well telemetry</a>  <font color="#6f6f6f">Nature</font>

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Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model
Naturegeneral

Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ZLVItdDhyc2pRbjh4eWJKeUV2NTEyZjJ6QnU0cjE2UVlPZmNvS3pSTXp1aVQ2QlN4M2RQdDhDU3NON1NJTWxBNS1lRVVJa3puWmhBZktYQzh1SkxaOGp3?oc=5" target="_blank">Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model</a>  <font color="#6f6f6f">Nature</font>

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The deep and slow breathing characterizing rest favors brain respiratory-drive
Naturetech

The deep and slow breathing characterizing rest favors brain respiratory-drive

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBoWmtTUC1LaXdhRzRET3hrN3BOS2RXY0Z0TmVfYTUtTXJ1QS1GUUY1ZGI5cjFYQUZtY01VSnpBak1ZbGlhcWFRamRwRzJhMWpMTGVHQ3pWbVJyenEwOG84?oc=5" target="_blank">The deep and slow breathing characterizing rest favors brain respiratory-drive</a>  <font color="#6f6f6f">Nature</font>

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Deep learning for automated materials characterisation in core-loss electron energy loss spectroscopy
Naturegeneral

Deep learning for automated materials characterisation in core-loss electron energy loss spectroscopy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5CN0VYWGUxQ2g1dEw0ZTN5Uk9SQTFhZFYxODBnYjdPbjhtLTRVQkVGVVNSemJsRkRkejBuVkRsZGpUYjU4WmYzbFlXNnFsQmZQLVNjNUItWG9yeDJWTERR?oc=5" target="_blank">Deep learning for automated materials characterisation in core-loss electron energy loss spectroscopy</a>  <font color="#6f6f6f">Nature</font>

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Depth-resolved characterization of Meissner screening breakdown in surface treated niobium
Naturegeneral

Depth-resolved characterization of Meissner screening breakdown in surface treated niobium

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBOc3Y1M0w1OXJfN3UyU3hQYzcxVmVmQ1VENklNTUc4ZmJhYUV2djFZRkpwdjBGZHZlRlo0aXRCNWd4VVY2amhrUElCU045VERYSzhMcVROOEQyak91X2xZ?oc=5" target="_blank">Depth-resolved characterization of Meissner screening breakdown in surface treated niobium</a>  <font color="#6f6f6f">Nature</font>

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PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models | Scientific Reports
Natureworld

PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9WYnh2THE0RkliLWt0YkdPTTczWHNwZGZqNHBtMzBVUGxSWDdlS2E4M3dMSUl0NmxWS3pKWG81V0ZFSlFQbWxVQW1YLUwweXJ0T21TSjdaT0VqbnRTNUl3?oc=5" target="_blank">PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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AI-enabled RF data synthesis for breast ultrasound: efficacy in quantitative ultrasound tissue characterization
Naturetech

AI-enabled RF data synthesis for breast ultrasound: efficacy in quantitative ultrasound tissue characterization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1XUjJFWWtmd2pZUmFnY2lpU1hJcUh0RzdYaFZJdUhoT2hHdFpHXzUxMkhRUXJEZE9FdkR5dG1FYzZHUURWZTdvclBFWjdmUUpLMHNUMFJDZmw5V3VSZjBF?oc=5" target="_blank">AI-enabled RF data synthesis for breast ultrasound: efficacy in quantitative ultrasound tissue characterization</a>  <font color="#6f6f6f">Nature</font>

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Predicting and characterizing a cancer dependency map of tumors with deep learning
Science | AAASgeneral

Predicting and characterizing a cancer dependency map of tumors with deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5YWmtUckc1bkdOY0h5UE9Rb1BiOFJwMWVwdVJVWnI5TFgyM05MQkZ0N3I3SkJ3VFN6enFiUHVScDJqdGM4azhoZjhVUW4ycXM0bXoxVjVzNHVKQmtuMF9r?oc=5" target="_blank">Predicting and characterizing a cancer dependency map of tumors with deep learning</a>  <font color="#6f6f6f">Science | AAAS</font>

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Label-free mass and size characterization of few-kDa biomolecules by hierarchical vision transformer augmented nanofluidic scattering microscopy
Naturegeneral

Label-free mass and size characterization of few-kDa biomolecules by hierarchical vision transformer augmented nanofluidic scattering microscopy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1rMU1remNTZVVVZmZGbmRZTERPdkxIdHlkMkROMVUzdHlLVXdBc0dWQi1wODBVWXJxd2JaZDdFZlBKal9fZjRBejhWaW16ajhZX0JJaE80SFlxWTNtMGN3?oc=5" target="_blank">Label-free mass and size characterization of few-kDa biomolecules by hierarchical vision transformer augmented nanofluidic scattering microscopy</a>  <font color="#6f6f6f">Nature</font>

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Macroscopical and histological characterization of the perineal membrane and deep perineal pouch
Wiley Online Librarygeneral

Macroscopical and histological characterization of the perineal membrane and deep perineal pouch

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE9wTUJzRDBKRDhDSU9EZTJxNUlNcnd1TnY2MHJ6d3pPaEo3M0pIRUtMejRRT0t6UlA1RU1CS2hBN1FtOE8wQ0lOSE5YbnVVLWI1aWVINnFRcTY2MmV5Y04tcy1vTzlXR3hxV3c?oc=5" target="_blank">Macroscopical and histological characterization of the perineal membrane and deep perineal pouch</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Characterization of deep neural network features by decodability from human brain activity
Naturetech

Characterization of deep neural network features by decodability from human brain activity

<a href="https://news.google.com/rss/articles/CBMiVkFVX3lxTE11TWtIc2RvTWJFQ19fSG5wQWtfTU5YdVl3MHdLWmliOVlzNkdKVHFQOW13Ykd0RGpXRFJnOWlmV25IU0RiTnRQakpyLUl0d05IR0VjOEl3?oc=5" target="_blank">Characterization of deep neural network features by decodability from human brain activity</a>  <font color="#6f6f6f">Nature</font>

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In-Depth characterization of the shared genetic architecture of suicide attempts with other major psychiatric disorders
Naturegeneral

In-Depth characterization of the shared genetic architecture of suicide attempts with other major psychiatric disorders

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4xZnRQbWI3NHhycXNYT1hsTkRzTEtXRTdJRmRkT21aQzJKOWRyaDBRVTM1YVVDa3o4QWw4aGw3RmFxSmFFakdBTkRWTGV4OEZBYUhnRTY5Q1R4ZG1TZ3gw?oc=5" target="_blank">In-Depth characterization of the shared genetic architecture of suicide attempts with other major psychiatric disorders</a>  <font color="#6f6f6f">Nature</font>

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A deep hybrid inception network model with entropy based attention for automated iron ore image characterization
Naturegeneral

A deep hybrid inception network model with entropy based attention for automated iron ore image characterization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84VC1UcE9jZHQ2MnJScDctVVA4aVJzLWY3MEp1SlUyRjIyYzFzY3BmLXVBNk02UkJBVERuQU5mclJvam1qTUhtZGswaGstN1hBYXcyejFETDNsTFhxd3Y0?oc=5" target="_blank">A deep hybrid inception network model with entropy based attention for automated iron ore image characterization</a>  <font color="#6f6f6f">Nature</font>

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Field‐based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks - Xiang - 2023 - Journal of Field Robotics
Wiley Online Librarytech

Field‐based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks - Xiang - 2023 - Journal of Field Robotics

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTFAwZC14bV95OGpFdWhuZmVCNHFNZFJSM2RPSTlmeGFDUndLVkxjWHdaZFVqamtIcHM3cThMcVRPdEY3aDNsWmxHc1pTVEtOLUtmSXpNSjZHTnZMR0E0WURkSEt2dENtWWZHdlE?oc=5" target="_blank">Field‐based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks - Xiang - 2023 - Journal of Field Robotics</a>  <font color="#6f6f6f">Wiley Online Library</font>

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"Characterizing Deep Gauss" — Live Google News Trends & Headlines